236 citations · 800 across the 24 of their papers we have counts for
24 papers
A fully implicit, asymptotic-preserving, semi-Lagrangian algorithm for the time dependent anisotropic heat transport equation
O. Koshkarov, L. Chacon
In this paper, we extend the operator-split asymptotic-preserving, semi-Lagrangian algorithm for time dependent anisotropic heat transport equation proposed in [Chacón et al., JCP,…
An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles
Pedro Jimenez, Luis Chacon, Mario Merino
An electrostatic, implicit particle-in-cell (PIC) model for collisionless, fully magnetized, paraxial plasma expansions in a magnetic nozzle is introduced with exact charge, energy…
An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
Qi Tang, Luis Chacon, Tzanio V. Kolev +2
The magnetohydrodynamics (MHD) equations are continuum models used in the study of a wide range of plasma physics systems, including the evolution of complex plasma dynamics in tok…
An asymptotic-preserving 2D-2P relativistic Drift-Kinetic-Equation solver for runaway electron simulations in axisymmetric tokamaks
Luis Chacon, Don Daniel, William T. Taitano
We propose an asymptotic-preserving (AP), uniformly convergent numerical scheme for the relativistic collisional Drift-Kinetic Equation (rDKE) to simulate runaway electrons in axis…
Prediction of temperature barriers in weakly collisional plasmas by a Lagrangian Coherent Structures computational tool
Giovanni Di Giannatale, Daniele Bonfiglio, Susanna Cappello +2
Analysis of Lagrangian Coherent Structures (LCSs) has been showed to be a valid mathematical approach to explain the formation of transport barriers in magnetized plasmas. Such LCS…
An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models
Truong Nguyen, Guangye Chen, Luis Chacon
We propose an Anderson Acceleration (AA) scheme for the adaptive Expectation-Maximization (EM) algorithm for unsupervised learning a finite mixture model from multivariate data (Fi…